Description
This research mission broadly aims to understand how children grasp new concepts from few examples, how children build upon layers of concepts to reach an understanding of the world and have the flexibility to solve an unbounded range of problems. Can we build AI that starts like a baby and learns like a child?
Goals include defining common-sense “core knowledge” and replicating learning algorithms used by babies up to 18 months to eventually build robots that can flexibility to adapt to new situations.
During Advances in the quest to understand intelligence, held at MIT on Nov. 4, 2022, Professors Josh Tenenbaum, Laura Schulz, and Rebecca Saxe introduced the Developing Intelligence Mission and the research coming from it.
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Director of Science, MIT Quest for IntelligenceProfessor, Department of Brain and Cognitive SciencesComputer Science and Artificial Intelligence Laboratory- Computational Cognition
- Machine Learning
- AI Explainability
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Director of Research, MIT Quest for IntelligencePanasonic Professor, Department of Electrical Engineering and Computer ScienceComputer Science and Artificial Intelligence Laboratory- AI Robotics
- Machine Learning
- Computer Vision
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John W. Jarve (1978) Professor, Brain and Cognitive SciencesAssociate Dean, School of ScienceMissions -
MacVicar Faculty Fellow, Department of Brain & Cognitive SciencesAssociate Department Head, Department of Brain and Cognitive SciencesInvestigator, Center for Brains, Minds and MachinesMissions -
Director of Modeling and InferencePrincipal Research Scientist, Department of Brain and Cognitive SciencesMissions -
Toyota Professor, Department of Electrical Engineering and Computer ScienceComputer Science and Artificial Intelligence Laboratory- AI Robotics
- Intelligent Sensors